Meter
Data Analyst
San Francisco
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$16,565 more — $206,565 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $206,565 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Meter sells networks the way utilities sell power: as something that just works.
- Right now, the data that runs the business is scattered across a dozen systems that don't talk to each other.
- WHY THIS ROLE MATTERS Every important decision at Meter - where to spend marketing dollars, which accounts to prioritize, how to forecast next quarter - is only as good as the data underneath it.
Responsibilities
- Build the attribution and funnel layer that lets us actually compare the cost of acquiring a customer through partners versus paid versus outbound.
- You've been the analytical partner inside a GTM function - not just the analyst who delivered reports to one. You've sat in pipeline reviews, argued about attribution definitions, and built dashboards that executives actually use.
- Monday morning you're pairing with a marketing lead on why their LinkedIn spend report doesn't match what finance recognized last quarter.
- Thursday is deeper IC work: designing the schema for a new partner data source.
Requirements
- You can read someone else's 200-line query and find the bug in ten minutes.
- You have opinions about staging vs. marts, when to use incremental models, and what belongs in a snapshot.
- You can take "is our marketing spend working?" and turn it into a structured analysis with a clear, defensible answer - including what you're not sure about.
- You know the dashboard nobody uses is worse than no dashboard at all.
- You have deep experience with one or more of the following: Snowflake, BigQuery, Tableau, or other modern data stacks.
Compensation
- The estimated base salary for this role is between $190,000 - $270,000
Benefits
- You'll be in the room when sales leadership is debating territory coverage.
- Wednesday you're in the forecast review, watching the head of sales argue about coverage ratios, and you realize the underlying data has a fanout problem you can fix by Friday.
- Additionally, this role is eligible to participate in Meter's equity plan.
Company info
- Behind that promise is a business growing fast across enterprise customers, multi-site deployments, and a partner ecosystem.
- This role fixes that.
This listing is sourced directly from Meter's careers page and normalized into a canonical job model.